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 Page 1


1
The z-Transform
Page 2


1
The z-Transform
2
z-Transform
§ The z-transform is the most general concept for the
transformation of discrete-time series.
§ The Laplace transform is the more general concept for
the transformation of continuous time processes.
§ For example, the Laplace transform allows you to
transform a differential equation, and its corresponding
initial and boundary value problems, into a space in
which the equation can be solved by ordinary algebra.
§ The switching of spaces to transform calculus problems
into algebraic operations on transforms is called
operational calculus. The Laplace and z transforms are
the most important methods for this purpose.
Page 3


1
The z-Transform
2
z-Transform
§ The z-transform is the most general concept for the
transformation of discrete-time series.
§ The Laplace transform is the more general concept for
the transformation of continuous time processes.
§ For example, the Laplace transform allows you to
transform a differential equation, and its corresponding
initial and boundary value problems, into a space in
which the equation can be solved by ordinary algebra.
§ The switching of spaces to transform calculus problems
into algebraic operations on transforms is called
operational calculus. The Laplace and z transforms are
the most important methods for this purpose.
3
The Transforms
The Laplace transform of a function f(t):
ò
¥
-
=
0
) ( ) ( dt e t f s F
st
The one-sided z-transform of a function x(n):
å
¥
=
-
=
0
) ( ) (
n
n
z n x z X
The two-sided z-transform of a function x(n):
å
¥
-¥ =
-
=
n
n
z n x z X ) ( ) (
Page 4


1
The z-Transform
2
z-Transform
§ The z-transform is the most general concept for the
transformation of discrete-time series.
§ The Laplace transform is the more general concept for
the transformation of continuous time processes.
§ For example, the Laplace transform allows you to
transform a differential equation, and its corresponding
initial and boundary value problems, into a space in
which the equation can be solved by ordinary algebra.
§ The switching of spaces to transform calculus problems
into algebraic operations on transforms is called
operational calculus. The Laplace and z transforms are
the most important methods for this purpose.
3
The Transforms
The Laplace transform of a function f(t):
ò
¥
-
=
0
) ( ) ( dt e t f s F
st
The one-sided z-transform of a function x(n):
å
¥
=
-
=
0
) ( ) (
n
n
z n x z X
The two-sided z-transform of a function x(n):
å
¥
-¥ =
-
=
n
n
z n x z X ) ( ) (
4
Relationship to Fourier Transform
Note that expressing the complex variable z in
polar form reveals the relationship to the
Fourier transform:
å
å
å
¥
-¥ =
-
¥
-¥ =
- -
-
¥
-¥ =
= =
= =
=
n
n i i
n
n i n i
n
n
i i
e n x X e X
r if and e r n x re X
or re n x re X
w w
w w
w w
w ) ( ) ( ) (
, 1 , ) ( ) (
, ) )( ( ) (
which is the Fourier transform of x(n).
Page 5


1
The z-Transform
2
z-Transform
§ The z-transform is the most general concept for the
transformation of discrete-time series.
§ The Laplace transform is the more general concept for
the transformation of continuous time processes.
§ For example, the Laplace transform allows you to
transform a differential equation, and its corresponding
initial and boundary value problems, into a space in
which the equation can be solved by ordinary algebra.
§ The switching of spaces to transform calculus problems
into algebraic operations on transforms is called
operational calculus. The Laplace and z transforms are
the most important methods for this purpose.
3
The Transforms
The Laplace transform of a function f(t):
ò
¥
-
=
0
) ( ) ( dt e t f s F
st
The one-sided z-transform of a function x(n):
å
¥
=
-
=
0
) ( ) (
n
n
z n x z X
The two-sided z-transform of a function x(n):
å
¥
-¥ =
-
=
n
n
z n x z X ) ( ) (
4
Relationship to Fourier Transform
Note that expressing the complex variable z in
polar form reveals the relationship to the
Fourier transform:
å
å
å
¥
-¥ =
-
¥
-¥ =
- -
-
¥
-¥ =
= =
= =
=
n
n i i
n
n i n i
n
n
i i
e n x X e X
r if and e r n x re X
or re n x re X
w w
w w
w w
w ) ( ) ( ) (
, 1 , ) ( ) (
, ) )( ( ) (
which is the Fourier transform of x(n).
5
Region of Convergence
The z-transform of x(n) can be viewed as the Fourier
transform of x(n) multiplied by an exponential
sequence r
-n
, and the z-transform may converge
even when the Fourier transform does not.
By redefining convergence, it is possible that the
Fourier transform may converge when the z-
transform does not.
For the Fourier transform to converge, the
sequence must have finite energy, or:
¥ <
å
¥
-¥ =
-
n
n
r n x ) (
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FAQs on PPT: Z-Transform & Region of Convergence - Signals and Systems - Electrical Engineering (EE)

1. What is the Z-transform and how is it related to the region of convergence?
Ans. The Z-transform is a mathematical tool used in digital signal processing to analyze discrete-time signals and systems. It converts a discrete-time signal into a complex function of the complex variable z. The region of convergence (ROC) is a set of values of z for which the Z-transform converges, ensuring that the Z-transform exists and is well-defined.
2. How can the region of convergence be determined for a given Z-transform?
Ans. The region of convergence (ROC) for a given Z-transform can be determined by examining the poles and zeros of the Z-transform function. The ROC consists of all values of z for which the magnitude of the Z-transform is finite. It can be determined by considering the different possible cases based on the location of poles and zeros in the z-plane.
3. What is the significance of the region of convergence in practical applications of the Z-transform?
Ans. The region of convergence (ROC) is significant in practical applications of the Z-transform as it determines the stability and causality of the corresponding discrete-time system. The ROC provides information about the range of values for which the Z-transform can be applied and guarantees the convergence of the Z-transform for those values.
4. How does the region of convergence affect the frequency response of a discrete-time system?
Ans. The region of convergence (ROC) affects the frequency response of a discrete-time system by determining the range of frequencies for which the system exhibits a response. The ROC provides insights into the system's stability and causality, which in turn influence the frequency response characteristics such as magnitude and phase.
5. Can the region of convergence of a Z-transform change for different signals or systems?
Ans. Yes, the region of convergence (ROC) of a Z-transform can change for different signals or systems. The ROC depends on the specific poles and zeros of the Z-transform function, which can vary for different signals or systems. Therefore, the ROC can change depending on the characteristics of the discrete-time signal or system being analyzed.
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